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Gélisse, Sandrine

Université Paris-Saclay, INRAE, AgroParisTech, UMR BIOGER, 78850 Thiverval-Grignon, France

Current S-Index

11.2

Sum of Dataset Indices for all datasets

Average Dataset Index per Dataset

0.3

Average Dataset Index per dataset

Total Datasets

44

Total datasets for this author

Average FAIR Score

43.5%

Average FAIR Score per dataset

Total Citations

0

Total citations to the author's datasets

Total Mentions

0

Total mentions of the author's datasets

S-Index Interpretation

S-Index Over Time

Cumulative Citations Over Time

Cumulative Mentions Over Time

Datasets

Dataset of a two-year field experiment on the dynamics of Zymoseptoria tritici populations in wheat cultivar mixtures

The data and the R scripts that support the findings of this study

Authors

  • ORELLANA-TORREJON, Carolina ;
  • Tiphaine, Vidal ;
  • Boixel, Anne-Lise ;
  • Gélisse, Sandrine ;
  • Saint-Jean, Sébastien ;
  • Suffert, Frédéric
0 Citations0 Mentions96% FAIR0.6 Dataset Index
10.15454/4maai02021

F12_t2_2019_population-phenotyping_virulents_number_R_on_S.txt

Contingency table with the number of pathogenic and non-pathogenic isolates per block and treatment, collected on Cellule and tested on Apache, characterized with the population-phenotyping. Data for the late stage of 2019 epidemic.

Authors

  • ORELLANA-TORREJON, Carolina ;
  • Tiphaine, Vidal ;
  • Boixel, Anne-Lise ;
  • Gélisse, Sandrine ;
  • Saint-Jean, Sébastien ;
  • Suffert, Frédéric
0 Citations0 Mentions42% FAIR0.2 Dataset Index
10.15454/4maai0/kq6kvk2021

F15_t2_2019_TabContglobal_virulence.txt.txt

Global contingency table with the number of virulent, avirulent, pathogenic and non-pathogenic isolates per block, treatment, and cultivar collected on field at the late stage of 2019 epidemic and tested with the population-phenotyping. Data is used to calculate a proxy for the size of the virulent subpopulations.

Authors

  • ORELLANA-TORREJON, Carolina ;
  • Tiphaine, Vidal ;
  • Boixel, Anne-Lise ;
  • Gélisse, Sandrine ;
  • Saint-Jean, Sébastien ;
  • Suffert, Frédéric
0 Citations0 Mentions42% FAIR0.2 Dataset Index
10.15454/4maai0/ttfho42021

F4_List_of_isolates.tab

List and virulence status of the 3035 isolates phenotyped in the greenhouse.

Authors

  • ORELLANA-TORREJON, Carolina ;
  • Tiphaine, Vidal ;
  • Boixel, Anne-Lise ;
  • Gélisse, Sandrine ;
  • Saint-Jean, Sébastien ;
  • Suffert, Frédéric
0 Citations0 Mentions42% FAIR0.2 Dataset Index
10.15454/4maai0/r6aa8q2021

F1_Field_disease_severity_rawdata.tab

Field disease severity raw data.

Authors

  • ORELLANA-TORREJON, Carolina ;
  • Tiphaine, Vidal ;
  • Boixel, Anne-Lise ;
  • Gélisse, Sandrine ;
  • Saint-Jean, Sébastien ;
  • Suffert, Frédéric
0 Citations0 Mentions42% FAIR0.3 Dataset Index
10.15454/4maai0/osazd42021

F14_t2_2019_population-phenotyping_virulents_number_S_on_S.txt

Contingency table with the number of pathogenic and non-pathogenic isolates per block and treatment, collected on Apache and tested on Apache, characterized with the population-phenotyping. Data for the late stage of 2019 epidemic.

Authors

  • ORELLANA-TORREJON, Carolina ;
  • Tiphaine, Vidal ;
  • Boixel, Anne-Lise ;
  • Gélisse, Sandrine ;
  • Saint-Jean, Sébastien ;
  • Suffert, Frédéric
0 Citations0 Mentions42% FAIR0.2 Dataset Index
10.15454/4maai0/m5sdgm2021

F7_t2_2018_population-phenotyping_virulents_number_R_on_S.txt

Contingency table with the number of pathogenic and non-pathogenic isolates per block and treatment collected on Cellule and tested on Apache, characterized with the population-phenotyping. Data for the late stage of the 2018 epidemic.

Authors

  • ORELLANA-TORREJON, Carolina ;
  • Tiphaine, Vidal ;
  • Boixel, Anne-Lise ;
  • Gélisse, Sandrine ;
  • Saint-Jean, Sébastien ;
  • Suffert, Frédéric
0 Citations0 Mentions42% FAIR0.2 Dataset Index
10.15454/4maai0/2xqefh2021

F2_t2_2018_field-severity_means.txt

Disease severity means per block, treatment, and cultivar used to calculate a proxy for the size of the virulent subpopulations. Data for the late stage of 2018 epidemic.

Authors

  • ORELLANA-TORREJON, Carolina ;
  • Tiphaine, Vidal ;
  • Boixel, Anne-Lise ;
  • Gélisse, Sandrine ;
  • Saint-Jean, Sébastien ;
  • Suffert, Frédéric
0 Citations0 Mentions42% FAIR0.3 Dataset Index
10.15454/4maai0/ylrgzd2021

F19_Virulence_function.R

Function used in main script for population-phenotyping data analysis.

Authors

  • ORELLANA-TORREJON, Carolina ;
  • Tiphaine, Vidal ;
  • Boixel, Anne-Lise ;
  • Gélisse, Sandrine ;
  • Saint-Jean, Sébastien ;
  • Suffert, Frédéric
0 Citations0 Mentions42% FAIR0.3 Dataset Index
10.15454/4maai0/z5vef52021

F8_t2_2018_population-phenotyping_virulents_number_S_on_R.txt

Contingency table with the number of virulent and avirulent isolates per block and treatment, collected on Apache and tested on Cellule, characterized with the population-phenotyping. Data for the late stage of 2018 epidemic.

Authors

  • ORELLANA-TORREJON, Carolina ;
  • Tiphaine, Vidal ;
  • Boixel, Anne-Lise ;
  • Gélisse, Sandrine ;
  • Saint-Jean, Sébastien ;
  • Suffert, Frédéric
0 Citations0 Mentions42% FAIR0.2 Dataset Index
10.15454/4maai0/ugfj202021